| 查看: 984 | 回复: 9 | ||
| 【奖励】 本帖被评价1次，作者yj222增加金币 0.5 个 | ||
| 当前主题已经存档。 | ||
[资源]
【转贴】 GOOGLE强大的搜索功能揭密【已搜无重复】
|
||
|
PDF格式： 以下是该文中所介绍核心算法的摘要： ABSTRACT MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that merges all intermediate values associated with the same intermediate key. Many real world tasks are expressible in this model, as shown in the paper. Programs written in this functional style are automatically parallelized and executed on a large cluster of commodity machines. The run-time system takes care of the details of partitioning the input data, scheduling the program's execution across a set of machines, handling machine failures, and managing the required inter-machine communication. This allows programmers without any experience with parallel and distributed systems to easily utilize the resources of a large distributed system. Our implementation of MapReduce runs on a large cluster of commodity machines and is highly scalable: a typical MapReduce computation processes many terabytes of data on thousands of machines. Programmers nd the system easy to use: hundreds of MapReduce programs have been implemented and upwards of one thousand MapReduce jobs are executed on Google's clusters every day. [ Last edited by 幻影无痕 on 2007-8-9 at 14:02 ] |
回复此楼» 猜你喜欢
北科281学硕材料求调剂
已经有9人回复
-
306求0703调剂一志愿华中师范
已经有6人回复
-
276求调剂。有半年电池和半年高分子实习经历
已经有8人回复
-
接收2026硕士调剂(学硕+专硕)
已经有3人回复
-
材料与化工考研调剂
已经有3人回复
-
081700 调剂 267分
已经有3人回复
-
一志愿重庆大学085700资源与环境，总分308求调剂
已经有3人回复
-
336化工调剂
已经有4人回复
-
08工学调剂
已经有10人回复
-
263求调剂
已经有6人回复
2楼2007-05-17 21:09:13
3楼2007-08-10 10:35:40
4楼2007-10-14 14:40:43
